Senior Data Scientist

3 weeks ago

Galway, Galway, Ireland Signify Health Ireland Full time

Join us at the start of a new era in health care where technology is transforming how and where care is delivered, creating a more connected, effective care experience for all. Our mission at Signify Health is to build trusted relationships to make people healthier. We do this by transforming the home into a health hub through a combination of data, technology & people. We are building a unified technology platform for value-based care that is improving care and reducing spending by treating patients in lower-cost settings and linking providers' payments to patient outcomes. Signify Health is driving this industry transformation and solving some of the most challenging problems in healthcare – this is where you come in

Signify Health Ireland is a green field, Galway-based R&D technology center looking for tech savvy individuals interested in embarking on a career that combines your passion for solving complex technology problems with purpose. Careers at Signify Health offer the opportunity to apply your technology and problem-solving skills toward a mission that benefits others and makes life-changing positive impacts on the members we serve every single day. We're looking for problem-solvers, game-changers, innovators, dreamers, doers—people who are ready to move the needle and build on our success.

Our strength lies in the diversity of our people - combining creativity, innovation and passion. We fully champion inclusive culture and provide opportunities for growing, learning and leading, empowering our teams to come as they are and deliver their best work.

As we reflect on our learnings and successes from remote work, we aim to provide a new state of the art flexible work environment in our Galway facility at Bonham Quay to support those objectives. Careers with Signify Health Ireland offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to divide their time between our Galway office and their home office.

How will this role have impact?

The Senior Data Scientist's role is to transform data into critical insights with respect to core and new products that can be used to make rational decisions by:

  • Collecting and preparing data for analysis – Cleansing / Data Wrangling
  • Creating models to evaluate the data – Statistical, Visual, Machine Learning
  • Evaluating models and refining as needed – How well does it work and can we improve it?
  • Delivering solutions based upon the model and communicating their value and use
This role reports directly to the Director of Data Science & is open to hybrid candidates who can be in the office in Galway two days a week.
EXPERIENCE REQUIREMENTS:
  • BS or MS degree in Data Science, Mathematics, Computer Science, Statistics, Operations Research, or another quantitative field. Advanced degree preferred.
  • 5-7 years of professional data scientist experience (3+ years with advanced degree) with a proven track record of success in delivering high-impact data science solutions.
  • Solid understanding of high-level product architecture and data flow patterns.
  • Ability to multitask and communicate effectively with others.
  • Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data to stakeholders.
  • Significant experience with statistical analysis, hypothesis testing and data visualisation.
  • Proficient programming in Python & SQL.
  • Experience in building cloud native analytical solutions, either on H20, Azure or GCP.
  • Experience in designing/developing/deploying supervised and unsupervised machine learning models, time series modeling, ensemble models, deep learning models.
  • Experience in designing/developing/deploying Generative AI and/or NLP based solutions using LLMs is desirable.
  • Experience working with sensitive healthcare data.
DUTIES AND RESPONSIBILITIES:
  • Mine and analyze data, applying statistical methods to identify critical insights for core and new products.
  • Research and develop statistical learning models for data analysis
  • Translate analytic insights into concrete, actionable recommendations for business or product improvement.
  • Build accurate and impactful predictive machine learning models to be used by other colleagues.
  • Give up-to-date model recommendations based on model performance.
  • Collaborate with and mentor junior data science teammates.
  • Comply with applicable legal requirements, standards, policies, and procedures, including, but not limited to, the Compliance requirements and HIPAA.
About Us:

Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals' clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we're able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved.

Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify's intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs.

To learn more about how we're driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com

Diversity and Inclusion are core values at Signify Health, and fostering a workplace culture reflective of that is critical to our continued success as an organization. We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

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